Physical Therapy 2.0: Leveraging Social Media to Engage Patients in Rehabilitation and Health Promotion
Bibliographic record
Abstract
Care for chronic conditions and noncommunicable diseases is dominating health systems around the globe. For physical therapists, this strain presents a substantial opportunity for engaging patients in health promotion and disease management in the years to come. Examples of social media being used to engage consumers in the business landscape are pervasive, and research reports suggest that patients are ready for social media to be incorporated into the way health care systems deliver care. We propose that leveraging the power and utility of existing technologies, such as social media, could innovate the way physical therapists engage patients in rehabilitation and health promotion practices, thus contributing to the evolution of the profession: Physical Therapy 2.0. To continue to be relevant in the community, physical therapist practice must respond to patients' needs and expectations. Incorporating social media into how physical therapists are both designing and delivering care holds potential for enhancing patient engagement in prescribed health behaviors and improving treatment outcomes. This conceptual article presents the perspective that physical therapists can utilize social media to enhance care delivery and treatment outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".